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--- |
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tags: |
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- generated_from_trainer |
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- TensorBlock |
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- GGUF |
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license: mit |
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datasets: |
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- HuggingFaceH4/ultrachat_200k |
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- HuggingFaceH4/ultrafeedback_binarized |
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language: |
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- en |
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base_model: HuggingFaceH4/zephyr-7b-beta |
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widget: |
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- example_title: Pirate! |
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messages: |
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- role: system |
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content: You are a pirate chatbot who always responds with Arr! |
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- role: user |
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content: There's a llama on my lawn, how can I get rid of him? |
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output: |
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text: Arr! 'Tis a puzzlin' matter, me hearty! A llama on yer lawn be a rare sight, |
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but I've got a plan that might help ye get rid of 'im. Ye'll need to gather |
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some carrots and hay, and then lure the llama away with the promise of a tasty |
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treat. Once he's gone, ye can clean up yer lawn and enjoy the peace and quiet |
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once again. But beware, me hearty, for there may be more llamas where that one |
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came from! Arr! |
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pipeline_tag: text-generation |
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model-index: |
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- name: zephyr-7b-beta |
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results: |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: AI2 Reasoning Challenge (25-Shot) |
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type: ai2_arc |
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config: ARC-Challenge |
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split: test |
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args: |
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num_few_shot: 25 |
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metrics: |
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- type: acc_norm |
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value: 62.03071672354948 |
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name: normalized accuracy |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=HuggingFaceH4/zephyr-7b-beta |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: HellaSwag (10-Shot) |
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type: hellaswag |
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split: validation |
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args: |
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num_few_shot: 10 |
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metrics: |
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- type: acc_norm |
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value: 84.35570603465445 |
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name: normalized accuracy |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=HuggingFaceH4/zephyr-7b-beta |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: Drop (3-Shot) |
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type: drop |
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split: validation |
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args: |
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num_few_shot: 3 |
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metrics: |
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- type: f1 |
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value: 9.66243708053691 |
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name: f1 score |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=HuggingFaceH4/zephyr-7b-beta |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: TruthfulQA (0-shot) |
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type: truthful_qa |
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config: multiple_choice |
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split: validation |
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args: |
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num_few_shot: 0 |
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metrics: |
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- type: mc2 |
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value: 57.44916942762855 |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=HuggingFaceH4/zephyr-7b-beta |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: GSM8k (5-shot) |
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type: gsm8k |
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config: main |
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split: test |
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args: |
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num_few_shot: 5 |
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metrics: |
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- type: acc |
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value: 12.736921910538287 |
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name: accuracy |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=HuggingFaceH4/zephyr-7b-beta |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: MMLU (5-Shot) |
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type: cais/mmlu |
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config: all |
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split: test |
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args: |
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num_few_shot: 5 |
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metrics: |
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- type: acc |
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value: 61.07 |
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name: accuracy |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=HuggingFaceH4/zephyr-7b-beta |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: Winogrande (5-shot) |
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type: winogrande |
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config: winogrande_xl |
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split: validation |
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args: |
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num_few_shot: 5 |
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metrics: |
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- type: acc |
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value: 77.7426992896606 |
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name: accuracy |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=HuggingFaceH4/zephyr-7b-beta |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: AlpacaEval |
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type: tatsu-lab/alpaca_eval |
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metrics: |
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- type: unknown |
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value: 0.906 |
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name: win rate |
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source: |
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url: https://tatsu-lab.github.io/alpaca_eval/ |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: MT-Bench |
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type: unknown |
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metrics: |
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- type: unknown |
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value: 7.34 |
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name: score |
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source: |
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url: https://huggingface.co/spaces/lmsys/mt-bench |
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--- |
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|
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<div style="width: auto; margin-left: auto; margin-right: auto"> |
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<img src="https://i.imgur.com/jC7kdl8.jpeg" alt="TensorBlock" style="width: 100%; min-width: 400px; display: block; margin: auto;"> |
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</div> |
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<div style="display: flex; justify-content: space-between; width: 100%;"> |
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<div style="display: flex; flex-direction: column; align-items: flex-start;"> |
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<p style="margin-top: 0.5em; margin-bottom: 0em;"> |
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Feedback and support: TensorBlock's <a href="https://x.com/tensorblock_aoi">Twitter/X</a>, <a href="https://t.me/TensorBlock">Telegram Group</a> and <a href="https://x.com/tensorblock_aoi">Discord server</a> |
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</p> |
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</div> |
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</div> |
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|
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## HuggingFaceH4/zephyr-7b-beta - GGUF |
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This repo contains GGUF format model files for [HuggingFaceH4/zephyr-7b-beta](https://huggingface.co/HuggingFaceH4/zephyr-7b-beta). |
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The files were quantized using machines provided by [TensorBlock](https://tensorblock.co/), and they are compatible with llama.cpp as of [commit b4011](https://github.com/ggerganov/llama.cpp/commit/a6744e43e80f4be6398fc7733a01642c846dce1d). |
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<div style="text-align: left; margin: 20px 0;"> |
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<a href="https://tensorblock.co/waitlist/client" style="display: inline-block; padding: 10px 20px; background-color: #007bff; color: white; text-decoration: none; border-radius: 5px; font-weight: bold;"> |
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Run them on the TensorBlock client using your local machine ↗ |
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</a> |
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</div> |
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## Prompt template |
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``` |
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<|system|> |
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{system_prompt}</s> |
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<|user|> |
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{prompt}</s> |
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<|assistant|> |
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``` |
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|
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## Model file specification |
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| Filename | Quant type | File Size | Description | |
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| -------- | ---------- | --------- | ----------- | |
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| [zephyr-7b-beta-Q2_K.gguf](https://huggingface.co/tensorblock/zephyr-7b-beta-GGUF/blob/main/zephyr-7b-beta-Q2_K.gguf) | Q2_K | 2.532 GB | smallest, significant quality loss - not recommended for most purposes | |
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| [zephyr-7b-beta-Q3_K_S.gguf](https://huggingface.co/tensorblock/zephyr-7b-beta-GGUF/blob/main/zephyr-7b-beta-Q3_K_S.gguf) | Q3_K_S | 2.947 GB | very small, high quality loss | |
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| [zephyr-7b-beta-Q3_K_M.gguf](https://huggingface.co/tensorblock/zephyr-7b-beta-GGUF/blob/main/zephyr-7b-beta-Q3_K_M.gguf) | Q3_K_M | 3.277 GB | very small, high quality loss | |
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| [zephyr-7b-beta-Q3_K_L.gguf](https://huggingface.co/tensorblock/zephyr-7b-beta-GGUF/blob/main/zephyr-7b-beta-Q3_K_L.gguf) | Q3_K_L | 3.560 GB | small, substantial quality loss | |
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| [zephyr-7b-beta-Q4_0.gguf](https://huggingface.co/tensorblock/zephyr-7b-beta-GGUF/blob/main/zephyr-7b-beta-Q4_0.gguf) | Q4_0 | 3.827 GB | legacy; small, very high quality loss - prefer using Q3_K_M | |
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| [zephyr-7b-beta-Q4_K_S.gguf](https://huggingface.co/tensorblock/zephyr-7b-beta-GGUF/blob/main/zephyr-7b-beta-Q4_K_S.gguf) | Q4_K_S | 3.856 GB | small, greater quality loss | |
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| [zephyr-7b-beta-Q4_K_M.gguf](https://huggingface.co/tensorblock/zephyr-7b-beta-GGUF/blob/main/zephyr-7b-beta-Q4_K_M.gguf) | Q4_K_M | 4.068 GB | medium, balanced quality - recommended | |
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| [zephyr-7b-beta-Q5_0.gguf](https://huggingface.co/tensorblock/zephyr-7b-beta-GGUF/blob/main/zephyr-7b-beta-Q5_0.gguf) | Q5_0 | 4.654 GB | legacy; medium, balanced quality - prefer using Q4_K_M | |
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| [zephyr-7b-beta-Q5_K_S.gguf](https://huggingface.co/tensorblock/zephyr-7b-beta-GGUF/blob/main/zephyr-7b-beta-Q5_K_S.gguf) | Q5_K_S | 4.654 GB | large, low quality loss - recommended | |
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| [zephyr-7b-beta-Q5_K_M.gguf](https://huggingface.co/tensorblock/zephyr-7b-beta-GGUF/blob/main/zephyr-7b-beta-Q5_K_M.gguf) | Q5_K_M | 4.779 GB | large, very low quality loss - recommended | |
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| [zephyr-7b-beta-Q6_K.gguf](https://huggingface.co/tensorblock/zephyr-7b-beta-GGUF/blob/main/zephyr-7b-beta-Q6_K.gguf) | Q6_K | 5.534 GB | very large, extremely low quality loss | |
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| [zephyr-7b-beta-Q8_0.gguf](https://huggingface.co/tensorblock/zephyr-7b-beta-GGUF/blob/main/zephyr-7b-beta-Q8_0.gguf) | Q8_0 | 7.167 GB | very large, extremely low quality loss - not recommended | |
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## Downloading instruction |
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### Command line |
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Firstly, install Huggingface Client |
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```shell |
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pip install -U "huggingface_hub[cli]" |
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``` |
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Then, downoad the individual model file the a local directory |
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```shell |
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huggingface-cli download tensorblock/zephyr-7b-beta-GGUF --include "zephyr-7b-beta-Q2_K.gguf" --local-dir MY_LOCAL_DIR |
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``` |
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If you wanna download multiple model files with a pattern (e.g., `*Q4_K*gguf`), you can try: |
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```shell |
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huggingface-cli download tensorblock/zephyr-7b-beta-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf' |
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``` |
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